eprintid: 520
rev_number: 9
eprint_status: archive
userid: 7
dir: disk0/00/00/05/20
datestamp: 2011-07-27 08:39:02
lastmod: 2011-08-04 07:29:06
status_changed: 2011-07-27 08:39:02
type: book_section
metadata_visibility: show
contact_email: alberto.bemporad@imtlucca.it
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Di Cairano, Stefano
creators_name: Henriksson, Erik
creators_name: Johansson, Karl Henrik
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
title: Hybrid model predictive control based on wireless sensor feedback: an experimental study
ispublished: pub
subjects: QA75
subjects: TA
divisions: CSA
full_text_status: none
keywords: discrete-time hybrid model; hybrid dynamical process; hybrid model predictive control; remote station controls; stationary heat spatial distribution; wireless network links; wireless sensor feedback; wireless sensor network; discrete time systems; feedback; predictive control; telecontrol; wireless sensor networks
abstract: This paper presents the design and the experimental validation of model predictive control (MPC) of a hybrid dynamical process based on measurements collected by a wireless sensor network. The proposed setup is the prototype of an industrial application in which a remote station controls the process via wireless network links. The experimental platform is a laboratory process consisting of four infrared lamps, controlled in pairs by two on/off switches, and of a transport belt, where moving parts equipped with wireless sensors are heated by the lamps. By approximating the stationary heat spatial distribution as a piecewise affine function of the position along the belt, the resulting plant model is a hybrid dynamical system. The control architecture is based on the reference governor approach: the process is actuated by a local controller, while a hybrid MPC algorithm running on a remote base station sends optimal belt velocity set-points and lamp on/off commands over a network link exploiting the information received through the wireless network. A discrete-time hybrid model of the process is used for the hybrid MPC algorithm and for the state estimator.
date: 2007
date_type: published
publication: Decision and Control
publisher: IEEE
place_of_pub: 12th-14th December 2007
pagerange: 5062-5067 
event_title: 46th IEEE Conference on Decision and Control
event_location: 12th-14th December 2007
event_dates: New Orleans, LA
id_number: 10.1109/CDC.2007.4434918
refereed: TRUE
isbn: 978-1-4244-1497-0 
book_title: Decision and Control
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4434918&isnumber=4434000
citation:   Bemporad, Alberto and Di Cairano, Stefano and Henriksson, Erik and Johansson, Karl Henrik  Hybrid model predictive control based on wireless sensor feedback: an experimental study.   In:  Decision and Control.   IEEE, 12th-14th December 2007, 5062-5067 .  ISBN 978-1-4244-1497-0       (2007)